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snapshot_diff_summary

Compare two Spotify snapshots to identify changes, displaying counts and the first few added or removed tracks for quick review.

Instructions

One-paragraph summary of the differences between two snapshots: counts plus the first few changed tracks

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
to_snapshotYesNewer snapshot (id, filename, or path)
from_snapshotYesOlder snapshot (id, filename, or path)
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the disclosure burden. It does reveal the headline behavior — a prose summary containing counts and a small sample of changed tracks — and the response_format variants are covered by the schema. However, it does not state whether the operation is read-only, what kinds of changes count (additions/removals/modifications), or how the 'first few' tracks are truncated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with the verb (summary), resource (ifferences between snapshots), and output scope (counts + first few changed tracks) all front-loaded. There is zero filler; the only quibble is that it packs no sibling-routing information, which belongs to other dimensions rather than conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema and no annotations, the return value is only sketched (counts + first few tracks) and the truncation limit is unspecified. More importantly, 'snapshot' is ambiguous across two large sibling families — library snapshot tools and playlsit snapshot tools — so an agent cannot be certain which domain this tool compares. The well-documented response_format enum partially mitigates the gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%: from_snapshot and to_snapshot are documented as older/newer snapshot identifiers and response_format enumerates its three modes with meanings. The tool description adds no parameter-level meaning beyond the schema, so the high-coverage baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: produce a one-paragraph summary of differences between two snapshots, and even specifies the output shape (counts plus the first few changed tracks). This implicitly differentiates it from full-diff siblings like library_snapshot_diff and diff_playlist_snapshots, though it does not name them and 'sapshot' scope (library vs playlist) is left ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this summary tool vs. full-diff alternatives such as library_snapshot_diff, diff_playlist_snapshots, or diff_since_snapshot. There are no usage conditions, no exclusions, and no named alternatives, so the agent must infer the distinction from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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